R: Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions

# Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions

## Documentation for package ‘CSMES’ version 1.0.1

- DESCRIPTION file

## Help Pages

BFP | Business failure prediction demonstration data set
brierCurve | Calculates Brier Curve
CSMES.ensNomCurve | CSMES Training Stage 2: Extract an ensemble nomination curve (cost curve- or Brier curve-based) from a set of Pareto-optimal ensemble classifiers
CSMES.ensSel | CSMES Training Stage 1: Cost-Sensitive Multicriteria Ensemble Selection resulting in a Pareto frontier of candidate ensemble classifiers
CSMES.predict | CSMES scoring: generate predictions for the optimal ensemble classifier according to CSMES in function of cost information.
CSMES.predictPareto | Generate predictions for all Pareto-optimal ensemble classifier candidates selected through CSMES
plotBrierCurve | Plots Brier Curve